---
title: "Benchmark OpenClaw coding agents against repeatable real tasks before rollout with PinchBench"
description: "Run a real-task benchmark suite against OpenClaw agents so model or harness changes can be compared before they hit production workflows."
verification: "listed"
source: "https://github.com/pinchbench/skill"
author: "pinchbench"
publisher_type: "organization"
category:
  - "Code Quality & Review"
framework:
  - "OpenClaw"
tool_ecosystem:
  github_repo: "pinchbench/skill"
  github_stars: 1003
---

# Benchmark OpenClaw coding agents against repeatable real tasks before rollout with PinchBench

Run a real-task benchmark suite against OpenClaw agents so model or harness changes can be compared before they hit production workflows.

## Prerequisites

Running OpenClaw instance, Python 3.10+, uv, PinchBench repository checkout, model provider credentials as documented upstream

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Clone the benchmark repository, install its documented Python and uv dependencies, connect it to a running OpenClaw instance, then run the provided benchmark scripts against the model or suite you want to compare.
```

## Documentation

- https://pinchbench.com

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/benchmark-openclaw-coding-agents-against-repeatable-real-tasks-before-rollout-with-pinchbench/)